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Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors

Publication Type : Book Chapter

Thematic Areas : Medical Sciences, Biotech

Publisher : IntechOpen

Source : Advances in Neural Signal Processing

Url :

Keywords : human gait, cortical activation, electroencephalography, stance, swing, accelerometer sensors

Campus : Amritapuri

School : School of Biotechnology

Center : Amrita Mind Brain Center, Biotechnology

Department : biotechnology

Year : 2020

Abstract : Neural coding of gait intent and continuous gait kinematics have advanced brain computer interface (BCI) technology for detection and predicting human upright walking movement. However, the dynamics of cortical involvement in upright walking and upright standing has not been clearly understood especially with the focus of off-laboratory assessments. In this study, wearable low-cost mobile phone accelerometers were used to extract position and velocity at 12 joints during walking and the cortical changes involved during gait phases of walking were explored using non-invasive electroencephalogram (EEG). Extracted gait data included, accelerometer values proximal to brachium of arm, antecubitis, carpus, coxal, femur and tarsus by considering physical parameters including height, weight and stride length. Including EEG data as features, the spectral and temporal features were used to classify and predict the swing and stance instances for healthy subjects. While focusing on stance and swing classification in healthy subjects, this chapter relates to gait features that help discriminate walking movement and its neurophysiological counterparts. With promising initial results, further exploration of gait may help change detection of movement neurological conditions in regions where specialists and clinical facilities may not be at par.

Cite this Research Publication : Chaitanya Nutakki, Sandeep Bodda and Shyam Diwakar (September 9th 2020). Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors, Advances in Neural Signal Processing, Ramana Vinjamuri, IntechOpen, DOI: 10.5772/intechopen.88465. Available from:

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